Data Scientist

You Are Someone Who Can

Lead solutioning on behalf of client, develop and improve models for business solutions and improve efficiency.
Present solutions with storytelling.
Strong technology decision making skills are required.
Define and ensure deliveries adhere to non-functional requirements and schedule.
Expert in NLP and knowledge graph solution, OCR, PDF extraction, cross language model development, experience with transformers
Natural Language Processing, machine translation, language detection, classification, and summarization with different aspects of dealing NLP like Phonology and Morphology.
Experience with conversational AI and NLQ
Working Knowledge along with FAIR principles, explainable AI and AI on multiple clouds
Expert in accuracy and error measurement and model improvement
Experience working with integration/API patterns.
Knowledge of Computer Vision, Deep Learning
Real life project experience, following Python coding standards, design explanations and collaborating with application development teams, architects, Business, and customer.
Ability to discover and define functional requirements, interview experts, and transform them into technical requirements and architecture definition.
Outstanding written and verbal communication skills and effectively influence decisions and positively.
Experience with Agile Methodology, Design thinking, working with ambiguity, find own path.
Always ready to learn, work on self-development and team's capability development.

You Bring In

Python (including packages like SciKitLearn, NumPy, pandas, keras tensorflow)
SQL experience one or many (Postgres, Oracle, SQL Server, Teradata)
Experience in VLDB, enterprise environments.
Programming Language(s): Experience in combinations of SQL, Python
OS/HW: Experience in Linux/Unix open systems, AWS and/or Windows environment
Strong analytical skills and ML Modelling experience (Supervised, Unsupervised, Neural Networks)
Should have experience/expertise in productizing ML based solutions
Should have the breadth on various ML frameworks
Should have knowledge on the core concepts of Machine Learning
Good written and verbal communication.
Four or more years of analytical experience. Even better if you have:
Experience with other data analysis software and scripting languages (e.g. R, SAS).
Strong background in statistics.
Risk management/modelling experience.
AWS experience a plus

Your Qualification Is

B.E/B.Tech/M.C.A/MSc (preferably in Computer Science/IT)